Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Leibniz
- University of Göttingen •
- University of Potsdam •
- University of Tübingen
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- Brandenburg University of Technology Cottbus-Senftenberg •
- Fraunhofer-Gesellschaft
- RWTH Aachen University
- Ruhr-Universität Bochum •
- University of Tübingen •
- Carl von Ossietzky University of Oldenburg •
- Dresden University of Technology •
- GFZ Helmholtz Centre for Geosciences
- Heidelberg University •
- Helmholtz-Zentrum Geesthacht
- Karlsruhe Institute of Technology •
- Max Planck Institute for Extraterrestrial Physics, Garching
- Technische Universität Berlin •
- Technische Universität München
- University of Bremen •
- University of Münster •
- University of Stuttgart •
- Deutsches Elektronen-Synchrotron DESY •
- Friedrich Schiller University Jena •
- German Institute for Economic Research (DIW Berlin) •
- Helmholtz Centre for Environmental Research - UFZ •
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Dresden-Rossendorf •
- Hertie School •
- Humboldt-Universität zu Berlin •
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Informatics •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Software Systems •
- Max Planck Institute for Solid State Research •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Physics of Complex Systems •
- Max Planck Institute for the Science of Light •
- Max Planck Institute of Biochemistry •
- Max Planck Institute of Microstructure Physics •
- Max Planck Institutes
- Max-Planck-Zentrum für Physik und Medizin •
- Saarland University •
- TRON – Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz •
- TU Dresden
- Technical University of Darmstadt •
- Technical University of Munich •
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- Ulm University •
- University of Kassel •
- University of Konstanz •
- Universität Düsseldorf
- Universität Hamburg •
- 51 more »
- « less
-
Field
-
Your Job: As part of a collaborative research project funded by the Federal Ministry of Research, Technology and Space (BMFTR), and conducted in cooperation with academic and industrial partners
-
, structured PhD program for all doctoral candidates working at LIV with binding guidelines developed based on the Leibniz Association's guidelines for graduate education. Our program offers multidisciplinary
-
associated PhD topics is highly encouraged Your profile Completed university studies (Master/Diploma) in STEM fields with strong background on process modelling, applied mathematics, process engineering
-
on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
-
and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our
-
(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
Functionality, Implementation and Demonstration is currently searching for the second cohort of PhD candidates starting in Spring/Summer 2025. This program is an international collaboration between
-
. Requirements: university degree in Computer Science, Physics, Engineering, or a related field strong background in relevant research areas genuine interest in research and a high level of enthusiasm
-
: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent